Cyber-physical application monitoring across multiple clouds

dc.contributor.authorNoor, Ayman
dc.contributor.authorMitra, Karan
dc.contributor.authorSolaiman, Ellis
dc.contributor.authorSouza, Arthur
dc.contributor.authorJha, Devki Nandan
dc.contributor.authorDemirbaga, Ümit
dc.contributor.authorJayaraman, Prem Prakash
dc.contributor.authorDemirbaga, Ümit
dc.date.accessioned2025-10-18T10:11:04Z
dc.date.created2019
dc.date.issued2019
dc.departmentFakülteler, Mühendislik Mimarlık ve Tasarım Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractCyber-physical systems (CPS) integrate cyber-infrastructure comprising computers and networks with physical processes. The cyber components monitor, control, and coordinate the physical processes typically via actuators. As CPS are characterized by reliability, availability, and performance, they are expected to have a tremendous impact not only on industrial systems but also in our daily lives. We have started to witness the emergence of cloud-based CPS. However, cloud systems are prone to stochastic conditions that may lead to quality of service degradation. In this paper, we propose M2CPA - a novel framework for multi-virtualization, and multi-cloud monitoring in cloud-based cyber-physical systems. M2CPA monitors the performance of application components running inside multiple virtualization platforms deployed on multiple clouds. M2CPA is validated through extensive experimental analysis using a real testbed comprising multiple public clouds and multivirtualization technologies. (C) 2019 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipNatural Environment Research Council (UK) project (FloodPrep) [NE/P017134/1]; Natural Environment Research Council (UK) project (PACE: EPSRC) [EP/R033293/1]; EPSRC [EP/R033293/1] Funding Source: UKRI; NERC [NE/P017134/1] Funding Source: UKRI
dc.description.sponsorshipThis research is partially funded by two Natural Environment Research Council (UK) projects (FloodPrep:NE/P017134/1 and PACE: EPSRC EP/R033293/1).
dc.identifier.doi10.1016/j.compeleceng.2019.06.007
dc.identifier.endpage324
dc.identifier.issn0045-7906
dc.identifier.issn1879-0755
dc.identifier.orcidJayaraman, Prem Prakash/0000-0003-4500-3443
dc.identifier.orcidDemirbaga, Umit/0000-0001-5159-0723
dc.identifier.orcidNoor, Ayman/0000-0002-3344-2847
dc.identifier.scopus2-s2.0-85067390602
dc.identifier.scopusqualityQ1
dc.identifier.startpage314
dc.identifier.urihttps://doi.org/10.1016/j.compeleceng.2019.06.007
dc.identifier.urihttps://hdl.handle.net/11772/22185
dc.identifier.volume77
dc.identifier.wosWOS:000483629600024
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofComputers & Electrical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20251016
dc.subjectCyber-Physical System
dc.subjectMonitoring
dc.subjectLinear Road Benchmark
dc.subjectQos
dc.subjectVirtualization
dc.subjectCloud Computing
dc.titleCyber-physical application monitoring across multiple clouds
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication6197518d-2220-4e55-aa0a-5fc7d5c6606d
relation.isAuthorOfPublication.latestForDiscovery6197518d-2220-4e55-aa0a-5fc7d5c6606d

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